Reconstruction by inpainting for visual anomaly detection

Volume: 112, Pages: 107706 - 107706
Published: Apr 1, 2021
Visual anomaly detection addresses the problem of classification or localization of regions in an image that deviate from their normal appearance. A popular approach trains an auto-encoder on anomaly-free images and performs anomaly detection by calculating the difference between the input and the reconstructed image. This approach assumes that the auto-encoder will be unable to accurately reconstruct anomalous regions. But in practice neural...
Paper Details
Reconstruction by inpainting for visual anomaly detection
Published Date
Apr 1, 2021
107706 - 107706
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